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Page No. Ravi, Nirmala. Paper Title:. This paper attempts to determine criticality of some of the parameters so as they form critical elements causing the risks on coupling and cohesion. Observance from the results has yielded to identifying critical elements.
Tomlinson harashima precoding ppt to pdf
Keywords: e reusability, coupling and cohesion, critical parameters References: 1. Wikipedia, , 2. Pressman, Roger S. ISBN 3. Lawrence Chung and Brian A. Basili V. Beck, S.
Jaya Bhatt, Naveen Hemrajani. Abstract: An ad hoc network is a collection of wireless mobile hosts forming a temporary network without the aid of any centralized administration. In such a network, each node acts as both router and host simultaneously, the nodes can leave or join the network anytime. The routers are free to move. In this routing protocol, each mobile node in the network keeps a routing table listing all the other nodes it has known either directly or through some neighbours.
Every node has a single entry in the routing table. Along with these details the table also keeps track of the next hop neighbour to reach the destination node, the timestamp of the last update received for that node.
Information updates might either be periodic or event driven. DSDV protocol requires each mobile node in the network to advertise its own routing table to its current neighbours. The advertisement is done either by broadcasting or by multicasting. References: 1. Vijaya Kumar, Y. Vasudeva Reddyr , Dr.
Pulla Reddy Engg. Of Computer Science and Engg. Patel 5. Okonkwo V. O, Onyeyili I. O, Aginam C.
Linear Transmit Processing in MIMO Communications Systems
Abstract: In this work the internal stress equations for pinned portal frames under different kinds of loading was formulated using the equilibrium method. Unlike similar equations in structural engineering textbooks these equations considered the effect of deformation due to shearing forces. Keywords: Flexural rigidity, Pinned Portal frames, shear deformation, stiffness matrix References: 1. Graham, P.
Samuelson, O. Zienkiewi O. Reynolds, J. Hibbeler, Structural Analysis.
Timoshenko, J. Ghali , A. Suresh, R.
Parthasarathy, M. Prabakaran, S. Abstract: This paper discusses the challenges that are imposed by E-governess on the modern and future infrastructure.
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This paper refers to map reducing algorithm to define the requirements on data management, access control and security. This model that includes all the major stages and reflect specifying data management in modern E-government. This paper proposes the map reducing architecture model that provides the basic for building interoperable data. The paper explain how the implemented using Distributed structures and provisioning model. Keywords: Big Data, Map reducing, Distributed structures.
E-governance solution for government of Maharashtra. Batra, V.
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Gupta; M. Mohania; U. Gillick et al. Shvachko, Hairong Kuang, S. Chang, J. Dean, S. Ghemawat, W. Hsieh, D. Burrows, T. Chandra, A.
Fikes, and R. Stupar, S.
Michel, and R. Ekanayake, H.
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Li, B. Zhang, T. Gunarathne, S. Bae, J. Qiu, and G. ACM, , pp. Chase et al.
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Bharti Panjwani, Vijay Mohan. Abstract: This paper deals with two intelligent control schemes based on artificial neural network for temperature control in a jacketed Continuous Stirred Tank Reactor.
Objective is to regulate the reactor temperature for an exothermic reaction taking place in the CSTR by manipulating the thermal condition of jacket. Zhang and M. Martin T. Hagan, Howard B. Jeyachandran and M. Procyk and E.
Mamdani, "A linguistic self-organizing process controller," Automatica, vol. I, , pp. Naunau and Mahamed N.
Bundle protocol (BP) over Licklider transmission protocol (LTP) for cislunar communications
Glan Devadhas. Hagan, M. Jang, J. Abstract: This study provides insights into the relationship between data mining activities and the customization of the packages offered to tourists by hotels.
Data mining provides a method of understanding the needs and habits of the tourists so that hotels can provide targeted value propositions to tourists from different geographies. For the study, ten prominent hotels around the country were selected and three employees from each hotel with information were interviewed to collect information about the data mining activities they perform.
The study identifies that hotels give a high level of attention to data mining. Many of the hotels have suitable systems to capture the data of the guests, and have suitable staff to operate them. This indicates that data mining capabilities are either being built or are already in place in many of the hotels.
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It is also seen that hotels actively seek to customize the packages they offer to customers. All these eventually result in increased levels of long term customer loyalty. The regression analysis indicated a very strong relationship between data mining and the customization of service packages.